Autonomous Acquisition of Natural Language

Nivel, Erik; Thórisson, Kristinn R.; Steunebrink, Bas R.; Dindo, Haris; Pezzulo, Giovanni; Rodríguez Hernández, Manuel; Hernández Corbato, Carlos; Ognibene, Dimitri; Schmidhuber, Jürgen; Sanz Bravo, Ricardo; Helgason, Helgi P.; Chella, Antonio y Jonsson, Gudberg K. (2014). Autonomous Acquisition of Natural Language. En: "IADIS International Conference on Intelligent Systems & Agents 2014", 15 - 17 July 2014, Lisboa, Portugal. ISBN 978-989-8704-10-8. pp. 1-10.


Título: Autonomous Acquisition of Natural Language
  • Nivel, Erik
  • Thórisson, Kristinn R.
  • Steunebrink, Bas R.
  • Dindo, Haris
  • Pezzulo, Giovanni
  • Rodríguez Hernández, Manuel
  • Hernández Corbato, Carlos
  • Ognibene, Dimitri
  • Schmidhuber, Jürgen
  • Sanz Bravo, Ricardo
  • Helgason, Helgi P.
  • Chella, Antonio
  • Jonsson, Gudberg K.
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: IADIS International Conference on Intelligent Systems & Agents 2014
Fechas del Evento: 15 - 17 July 2014
Lugar del Evento: Lisboa, Portugal
Título del Libro: Proceedings of the International Conference on Intelligent Systems and Agents
Fecha: 2014
ISBN: 978-989-8704-10-8
Palabras Clave Informales: Autonomy, knowledge acquisition, natural language, communication
Escuela: E.T.S.I. Industriales (UPM)
Departamento: Ingeniería Química Industrial y del Medio Ambiente
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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An important part of human intelligence is the ability to use language. Humans learn how to use language in a society of language users, which is probably the most effective way to learn a language from the ground up. Principles that might allow an artificial agents to learn language this way are not known at present. Here we present a framework which begins to address this challenge. Our auto-catalytic, endogenous, reflective architecture (AERA) supports the creation of agents that can learn natural language by observation. We present results from two experiments where our S1 agent learns human communication by observing two humans interacting in a realtime mock television interview, using gesture and situated language. Results show that S1 can learn multimodal complex language and multimodal communicative acts, using a vocabulary of 100 words with numerous sentence formats, by observing unscripted interaction between the humans, with no grammar being provided to it a priori, and only high-level information about the format of the human interaction in the form of high-level goals of the interviewer and interviewee and a small ontology. The agent learns both the pragmatics, semantics, and syntax of complex sentences spoken by the human subjects on the topic of recycling of objects such as aluminum cans, glass bottles, plastic, and wood, as well as use of manual deictic reference and anaphora.

Proyectos asociados

FP7231453STREPSin especificarHUMANOBS – Humanoids that Learn Socio-Communicative Skills By Observation

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Depositado por: Memoria Investigacion
Depositado el: 25 Abr 2016 15:39
Ultima Modificación: 24 Feb 2017 15:51
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